Welcome to our group website
We are working in quantum technologies with a focus in implementations of quantum computation and quantum simulation with quantum optical systems. Our research could be applied towards developing exotic high-performance quantum processors and simulators, and also for fundamental science in the area of strongly correlated quantum systems. read more.
May 2024: Another new work was recently put out onto the arXiv by our PhD student Chee and collaborators. In this work, we integrate concepts based on the classical combination of quantum states into existing fault-tolerant algorithms for Hamiltonian simulation.
March 2024: We are excited to share our latest paper on “Nonlinear Quantum Dynamics in Superconducting NISQ Processors”, a collaborative effort by postdoc Muhammad and others from the Technical University of Crete. We tackle the ground state problem of the nonlinear Schrödinger equation and gain insights into the practical implementation and robustness of QCFD algorithms against hardware-induced noise.
April 2024: Check out our recent paper published to Advanced Quantum Technologies, part of our QEP project in collaboration with ExxonMobil! Using our unique qubit compression quantum optimization algorithms, we solve a route optimization problem, for instances ranging from 11 to 3964 routes constructed with data provided by researchers from ExxonMobil. State of the art so far was maximum 20-30 routes!
Jan 2024: Another new work was recently put out onto the arXiv by our PhD student Harvey, who shows how dimensionality reduction techniques from machine learning can be used to distinguish between thermal and non-thermal phases in quantum many-body scar systems!
July 2023: A new work from our research assistant Elias building up on our qubit compression algorithms for solving QUBO problems and applications in finance. We solve the transaction settlement problem and boost the performance by almost two orders of magnitude compared to the state of the art!
July 2023: Another paper was recently put up onto arXiv by PhD student Benjamin and others in the group. We show how the localization landscape can form the basis for hardware-efficient quantum algorithms for solving binary optimization problems, which is competitive with standard QAOA circuits of similar depth!
Research Highlights
June 2019: Quantum supremacy with analog quantum processors for material science and machine learning
Quantum supremacy with analog quantum processors for material science and machine learning J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, D …
April 2019: Hidden order in quantum many-body dynamics of driven-dissipative nonlinear photonic lattices
Hidden Order in Quantum Many-body Dynamics of Driven-Dissipative Nonlinear Photonic Lattices J. Tangpanitanon, S. R. Clark, V. M. Bastidas, R …
March 2019: Two new works out! One on detecting topological order in quantum many-body systems in Phys. Rev. B and one in probing many-body localization in open photonic systems published in Phys. Rev. A
Strongly correlated photon transport in a nonlinear photonic lattice with the disorder: Probing signatures of the localization transition T. F …
September 2018 “Discrete time crystal in globally driven interacting quantum systems without disorder” (March 2019, published!)
Fig.1 (a) Schematic diagram showing the dynamics of the individual spins in our model for a small perturbation in …
Dec 2017-publication in Science: Spectroscopic signatures of localization with interacting photons in superconducting qubits (collaboration with Google-Martinis group)
The international team used photons in Google’s quantum chip to simulate the surprising and beautiful pattern of the ‘Hofstadter butterfly’, …
November 2017: Realizing topological relativistic dynamics with slow light polaritons at room temperature
Authors M. Namazi, B. Jordaan, C. Noh, D. G. Angelakis, E. Figueroa Abstract Here we use a slow light quantum …